Mathematical morphology has been extensively used to denoise raw images [1]}; it has also been used to characterize and analyze microscopic images [2]}, [3]}, [4]}, and remote sensing [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}. Additionally, these operators have been used to generate medical images [12]}, [13]}. However, all of these morphological paper operators were used as filters to derive feature descriptors from the classifier's input data. We decided to integrate them into a Deep Neural network in this case.
